6,152 Data Analyst Jobs in Faridabad

About ExcelR: ExcelR is a leading edtech company founded by distinguished alumni of IIM and ISB, dedicated to transforming careers through world-class upskilling. Recognized twice with the Deloitte Fast 50 Award, ExcelR is one of Indias fastest-growing tech companies. With an employee size of 450+, we have a strong PAN India and USA presence. With a thriving community of 300,000+ learners, ExcelR delivers impactful learning experiences across the globe. We proudly collaborate with premier institutes like IIT Madras, IIT Jammu, IIT Roorkee, and BITS Pilani, offering cutting-edge programs. Job Title: Data Analyst Trainer Job Description: We are looking for a seasoned professional with in-depth expertise as a Data Analyst. The ideal candidate should have a proven track record of hands-on experience with related field technologies, including managing complex projects, mentoring teams, and driving operational excellence in the field. Proficiency in Excel, SQL, Power BI/Tableau Data cleaning, data visualization, and dashboarding Understanding of statistics and reporting techniques Knowledge of Python or R (preferred) Strong knowledge of SDLC, Agile, and Waterfall methodologies Proficiency in tools like MS Visio, Jira, and Balsamiq Requirement gathering, stakeholder management, and process modelling Excellent analytical and documentation skills Key Responsibilities: Develop, deliver, and continuously enhance training content and educational programs. Mentor and train junior in-house trainers, ensuring high-quality instruction across teams. Supervise the planning, execution, and evaluation of internships, assignments, and training programs. Innovate and maintain cutting-edge educational materials and content. Ideal Candidate Profile Demonstrated expertise in the relevant domain with industry experience Excellent communication and presentation abilities to deliver impactful training Passion for teaching and mentoring aspiring professionals Qualifications Prior experience in training, mentoring, or educational roles Strong interpersonal and time management skills Ability to collaborate effectively in a team environment If youre an innovative, highly skilled professional with a passion for both technology and education, wed love to hear from you!  Conditions:  Batch Management: Handle 3 batches consecutively, with assignments based on business requirements. This could include weekday/weekend and classroom batches.  Demos & Webinars: Conducting demo sessions and webinars.  Doubts Clarification Sessions: Organizing sessions to address and clarify students' doubts.  Course Material Preparation: Develop various teaching materials including presentations, assignments, projects, quizzes, and other relevant content.  Project Mentoring: Offer guidance and mentor-ship for student projects.  Placement Preparation: Assist students in preparing for placements, including conducting mock interviews.  Customer Query Handling: Addressing queries from potential customers.  Additional Responsibilities: Need to undertake other tasks as per the business requirement.

We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases. Data Analyst Responsibilities: Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analyses. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing. Data Analyst Requirements: Bachelors degree from an accredited university or college in computer science. Work experience as a data analyst or in a related field. Ability to work with stakeholders to assess potential risks. Ability to analyze existing tools and databases and provide software solution recommendations. Ability to translate business requirements into nontechnical, lay terms. High-level experience in methodologies and processes for managing large-scale databases. Demonstrated experience in handling large data sets and relational databases. Understanding of addressing and metadata standards. High-level written and verbal communication skills.

As a Data Analyst at Masthead Technologies, you will be an integral part of our dynamic team based in our Noida office. Your role will involve conducting day-to-day data analysis, collaborating with colleagues to develop data-driven solutions, and managing client reports across various platforms. You will also be responsible for analyzing real-time user feedback, handling production incidents, and producing reports and metrics for internal teams and clients. Additionally, you will collaborate with cross-functional teams to ensure smooth daily operations, demonstrating strong problem-solving abilities and the capacity to multitask under pressure. Key Responsibilities: - Conduct day-to-day data analysis, working closely with the team to develop and improve data-driven solutions. - Manage and assess client reports across various platforms, ensuring effective reproduction of data. - Collaborate with colleagues to brainstorm innovative strategies and implement creative solutions to complex problems. - Analyze real-time user feedback to continuously improve our products. - Handle production incidents and provide detailed reporting. - Produce daily reports, dashboards, and metrics for internal teams and clients. - Collaborate with cross-functional teams to ensure smooth daily operations. - Demonstrate strong problem-solving abilities and multitask under pressure. Qualifications Required: - Proficiency in MS Excel - Ability to perform data analysis effectively - Excellent problem-solving and multitasking skills If you are interested in joining our team, please share your CV at mastheadtechnologies.hr@gmail.com. This is a full-time, permanent position based in our Noida office. We look forward to welcoming you to the Masthead Technologies team!,

As an Inside Sales Representative, your role is to work closely with customers to understand their needs, provide suitable solutions, and facilitate a seamless sales process. You will be responsible for identifying new sales opportunities through various channels such as business directories and client referrals. Your friendly demeanor, excellent communication skills, and ability to close deals will be key to your success in this role. Key Responsibilities: - Implement creative strategies to reach out to potential customers and generate new business. - Take full ownership of building and maintaining your sales pipeline. - Follow up with customers to qualify leads, whether self-generated or provided by your team or OEM. - Engage with prospects and partners via phone calls, emails, and webinars/tradeshows. - Nurture qualified leads, oversee the sales process, collaborate with customers to identify opportunities, and convert them into orders. - Establish and maintain relationships with Channel Partner Inside/Outside Sales teams to pass on qualified leads. - Generate quotes for customers to be executed by channel partners. - Collaborate with technical support when necessary, eventually developing the ability to work independently. - Deliver professional sales presentations via phone and web technology. - Share product knowledge with potential clients while aligning with company messaging and positioning. - Stay updated on industry technologies to better serve customers. - Support tracking and analysis efforts to evaluate your and the company's effectiveness in generating new business. - Document, monitor, and update all leads and activities in the CRM tool as needed. Qualifications: - Bachelor's degree preferred Location: - Delhi Salary: - Negotiable,

As a Senior Marketing Analyst at Monks, you will have the opportunity to work closely with cross-functional teams (media, finance, operations) to perform a variety of data analysis activities. You will partner with a large tech company to help them run their advertising campaigns and provide necessary analytics support. Your role will involve working on data analysis, generating insights, and streamlining reports to help the team understand project performance effectively. Additionally, you will be responsible for managing the data team backlog, analysing complex data sets, and providing analytical support to cross-functional teams. **Key Responsibilities:** - Build, enhance and streamline reports to aid in understanding project performance. - Manage the data team backlog and serve as project manager on various data team projects. - Analyse complex data sets to identify trends, issues, and gather insights. - Provide analytical support to cross-functional teams. - Maintain data products and create visualisation tools, dashboards, reports, and spreadsheets. - Build and maintain an understanding of data flows, sources, and transformations across multiple data platforms. - Identify data issues proactively and collaborate with stakeholders for solutions. - Assist in process improvements within the data team. **Qualifications Required:** - Bachelor's/ Master's degree in Data Science, Statistics, Economics, Quantitative Finance, or other analytics-related field. - Minimum 1 year of experience using SQL, strong proficiency in spreadsheet and data visualisation tools. Familiarity with programming languages such as Javascript, R, Python is a plus. - Expertise in creating spreadsheets of findings and presenting them coherently to stakeholders. - Strong time and project management skills with high attention to detail. - Ability to think strategically, execute effectively, and deliver high-quality work under tight deadlines. - Excellent problem-solving skills with the ability to analyse and resolve complex problems using data. - Excellent communication and interpersonal skills with demonstrated ability to engage with senior leaders. Monks, the global digital operating brand of S4Capital plc, is dedicated to accelerating business possibilities by combining global marketing and technology services. Monks values diversity and inclusivity in the workplace, creating an environment where all individuals can freely express themselves and grow professionally. By embracing fresh voices and unique perspectives, Monks aims to produce work that resonates with the world and drives innovation in the industry.,

Role Overview: Maersk, a global leader in integrated logistics, is seeking a Pricing Specialist to develop and execute competitive pricing strategies aligned with business objectives and market conditions. As a Pricing Specialist, you will play a crucial role in ensuring profitability, sustainability, and consistency in pricing across products, services, and trade lanes. Join the Maersk team in shaping the future of global trade and logistics by harnessing cutting-edge technologies and unlocking opportunities on a global scale. Key Responsibilities: - Develop and implement pricing models and frameworks balancing competitiveness with profitability. - Monitor and adjust rates based on market dynamics, customer requirements, and internal cost structures. - Collaborate with procurement, sales, and operations to ensure pricing consistency and alignment with business goals. - Conduct regular market research to benchmark against competitors. - Identify opportunities and risks in different trade lanes and customer segments. - Prepare, review, and manage customer quotations and tender submissions with accuracy and timeliness. - Support the development of standardized pricing processes, tools, and guidelines. - Continuously improve response times and quotation quality through automation, templates, and best practices. - Partner with sales teams to design tailored pricing solutions for key customers. - Act as the bridge between procurement, operations, and commercial teams to ensure feasibility and alignment. - Track pricing performance, win/loss ratios, and margin development. - Prepare regular reports and dashboards to measure pricing effectiveness and business impact. Qualifications Required: - Bachelor's degree in business, Logistics, Industrial Engineering, Supply Chain Management, or related field. - 2-4 years of experience in pricing, procurement, or commercial roles (preferably in logistics or freight forwarding). - English proficiency. - Strong analytical and problem-solving skills with attention to detail. - Proficiency in Excel, knowledge of Power BI or similar tools is a plus. - Excellent communication and negotiation skills. - Ability to manage multiple priorities and work under pressure with tight deadlines. - Team-oriented mindset with the ability to collaborate across functions and regions. - Commercial acumen with strong customer orientation. - Strategic thinker with a proactive, results-driven approach. Additional Company Details: Maersk believes in the power of diversity, collaboration, and continuous learning, ensuring that its organization reflects and understands the customers it serves. With over 100,000 employees across 130 countries, Maersk is committed to shaping a brighter, more sustainable future through innovation and transformation in the global trade and logistics industry. The company values efficiency, sustainability, and excellence while providing opportunities for growth and development on a global scale. If you require any adjustments during the application and hiring process, Maersk is happy to support your needs. Contact accommodationrequests@maersk.com for special assistance or accommodations to facilitate your application or job performance.,

As a Data Analyst Warehouse, your role involves collecting, cleaning, and validating data from various internal and external sources. You will be analyzing large datasets to identify trends, patterns, and insights, and preparing and presenting analytical reports and dashboards. Collaborating closely with cross-functional teams to define data needs and deliver solutions is a key responsibility. Ensuring data integrity, accuracy, and consistency is crucial for supporting data-driven decision-making through regular and ad-hoc reporting. Additionally, you may be assigned other tasks as advised by the management or reporting manager. Qualifications required for this role include being a Graduate/Post Graduate with 3 years or more of relevant experience. You should have experience in ensuring data integrity, presenting analytical reports, and have knowledge in Data Analyst, Large Datasets, and preparing dashboards. If you believe you meet the eligibility criteria and are looking for a competitive salary package, we encourage you to drop your resume for consideration.,

Job Description You will be responsible for developing software using Java. Key Responsibilities: - Develop software using Java Qualifications Required: - Proficiency in Java Job Description You will be responsible for developing software using Java. Key Responsibilities: - Develop software using Java Qualifications Required: - Proficiency in Java

As a member of the dynamic Finance Platform Solutions team at Macquarie, you will be responsible for providing system support and change governance. This exciting opportunity allows you to work in a collaborative and dynamic culture, acting as an intermediary between the Financial Management Group and Technology teams. **Role Overview:** - Leverage your expertise in data analytics and modern tools to design and maintain automated solutions meeting business needs - Develop SQL queries, support Power BI dashboards, and ensure data integrity while troubleshooting and resolving issues - Lead transformation projects, collaborating with various stakeholders to translate business requirements into analytical solutions **Key Responsibilities:** - Bachelor's degree in Computer Science, Engineering, or related field, with 5+ years of experience in data analytics, Power BI, and SQL - Expertise in Alteryx, DBMS, data lake architectures, and familiarity with distributed query engines like Starburst is preferred - Experience with financial reporting tools such as Workiva is advantageous - Proven ability to translate business requirements into technical solutions aligned with organizational goals - Strong analytical skills, problem-solving mindset, and a commitment to delivering high-quality, innovative data projects **What We Offer:** - 1 wellbeing leave day per year - 26 weeks paid maternity leave or 20 weeks paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks paid leave for secondary caregivers - Company-subsidised childcare services - 2 days of paid volunteer leave and donation matching - Benefits to support physical, mental, and financial wellbeing including comprehensive medical and life insurance cover - Access to a wide range of learning and development opportunities - Hybrid and flexible working arrangements, dependent on role - Reimbursement for work from home equipment About Financial Management, People, and Engagement: Financial Management, People, and Engagement (FPE) provides a single interface for Macquarie's businesses across key areas of people, strategy, communications, and financial management. It is responsible for managing the Group's financial, tax, and treasury activities and strategic priorities, fostering the culture through people and community engagement strategies, and engaging with stakeholders to protect and promote Macquarie's reputation globally. Macquarie is committed to diversity, equity, and inclusion and provides reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. Apply now if you are excited about the role or working at Macquarie. As a member of the dynamic Finance Platform Solutions team at Macquarie, you will be responsible for providing system support and change governance. This exciting opportunity allows you to work in a collaborative and dynamic culture, acting as an intermediary between the Financial Management Group and Technology teams. **Role Overview:** - Leverage your expertise in data analytics and modern tools to design and maintain automated solutions meeting business needs - Develop SQL queries, support Power BI dashboards, and ensure data integrity while troubleshooting and resolving issues - Lead transformation projects, collaborating with various stakeholders to translate business requirements into analytical solutions **Key Responsibilities:** - Bachelor's degree in Computer Science, Engineering, or related field, with 5+ years of experience in data analytics, Power BI, and SQL - Expertise in Alteryx, DBMS, data lake architectures, and familiarity with distributed query engines like Starburst is preferred - Experience with financial reporting tools such as Workiva is advantageous - Proven ability to translate business requirements into technical solutions aligned with organizational goals - Strong analytical skills, problem-solving mindset, and a commitment to delivering high-quality, innovative data projects **What We Offer:** - 1 wellbeing leave day per year - 26 weeks paid maternity leave or 20 weeks paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks paid leave for secondary caregivers - Company-subsidised childcare services - 2 days of paid volunteer leave and donation matching - Benefits to support physical, mental, and financial wellbeing including comprehensive medical and life insurance cover - Access to a wide range of learning and development opportunities - Hybrid and flexible working arrangements, dependent on role - Reimbursement for work from home equipment About Financial Management, People, and Engagement: Financial Management, People, and Engagement (FPE) provides a single interface for Macquarie's businesses across key areas of people, strategy, communications, and financial management. It is responsible for managing the Group's financi

As a Business Intelligence Analyst at Decision Tree Analytics and Services, your role will involve designing and implementing business intelligence solutions and dashboards using SQL/Tableau to generate insights and provide decision support for enterprise clients. You will also be responsible for supporting data engineering using ETL tools and building enterprise data warehouses. Key Responsibilities: - Design and implement business intelligence solutions and dashboards using SQL/Tableau - Support data engineering using ETL tools and build enterprise data warehouses - Work with stakeholders to determine business requirements, priorities, define key performance indicators (KPI), and develop a BI and data warehouse (DW) strategy - Analyze large amounts of raw data and summarize into clear, accurate, meaningful, value-added reports and analysis - Identify new and emerging technologies and enhance existing processes related to analytics and business intelligence Qualifications Required: - Proven experience in designing and implementing business intelligence solutions using SQL/Tableau - Strong understanding of data engineering principles and experience with ETL tools - Ability to work with stakeholders to define business requirements and key performance indicators - Proficiency in analyzing large datasets and summarizing data into meaningful reports - Knowledge of new and emerging technologies in the field of analytics and business intelligence (Note: The above description is based on the provided job description. Any additional details about the company were not included in the JD.) As a Business Intelligence Analyst at Decision Tree Analytics and Services, your role will involve designing and implementing business intelligence solutions and dashboards using SQL/Tableau to generate insights and provide decision support for enterprise clients. You will also be responsible for supporting data engineering using ETL tools and building enterprise data warehouses. Key Responsibilities: - Design and implement business intelligence solutions and dashboards using SQL/Tableau - Support data engineering using ETL tools and build enterprise data warehouses - Work with stakeholders to determine business requirements, priorities, define key performance indicators (KPI), and develop a BI and data warehouse (DW) strategy - Analyze large amounts of raw data and summarize into clear, accurate, meaningful, value-added reports and analysis - Identify new and emerging technologies and enhance existing processes related to analytics and business intelligence Qualifications Required: - Proven experience in designing and implementing business intelligence solutions using SQL/Tableau - Strong understanding of data engineering principles and experience with ETL tools - Ability to work with stakeholders to define business requirements and key performance indicators - Proficiency in analyzing large datasets and summarizing data into meaningful reports - Knowledge of new and emerging technologies in the field of analytics and business intelligence (Note: The above description is based on the provided job description. Any additional details about the company were not included in the JD.)

As a Business Data Analyst at our leading brand in stainless steel kitchenware in India, you will be responsible for analyzing business data, identifying trends, and providing actionable insights. Your role will involve performing data analysis, developing data models, preparing statistical reports, and collaborating with cross-functional teams to support business objectives. Your strong communication skills and problem-solving abilities will be essential for effectively presenting findings and recommendations to stakeholders. Key Responsibilities: - Analyze business data to identify trends and insights - Develop data models to support business decision-making - Prepare statistical reports based on data analysis - Collaborate with cross-functional teams to achieve business objectives Qualifications: - Proficiency in Analytical Skills, Data Analytics, and Data Modeling - Knowledge and application of Statistics for business decision-making - Strong Communication skills to articulate insights and collaborate with teams - Ability to work independently and handle multiple projects simultaneously - Experience with data visualization tools is advantageous - Bachelors degree in Data Analytics, Business, Statistics, or related field As a Business Data Analyst at our leading brand in stainless steel kitchenware in India, you will be responsible for analyzing business data, identifying trends, and providing actionable insights. Your role will involve performing data analysis, developing data models, preparing statistical reports, and collaborating with cross-functional teams to support business objectives. Your strong communication skills and problem-solving abilities will be essential for effectively presenting findings and recommendations to stakeholders. Key Responsibilities: - Analyze business data to identify trends and insights - Develop data models to support business decision-making - Prepare statistical reports based on data analysis - Collaborate with cross-functional teams to achieve business objectives Qualifications: - Proficiency in Analytical Skills, Data Analytics, and Data Modeling - Knowledge and application of Statistics for business decision-making - Strong Communication skills to articulate insights and collaborate with teams - Ability to work independently and handle multiple projects simultaneously - Experience with data visualization tools is advantageous - Bachelors degree in Data Analytics, Business, Statistics, or related field

As a Power BI Developer/Analyst, your role involves designing, developing, and deploying business intelligence reports using Microsoft's Power BI. You will work closely with stakeholders to gather requirements, create data models, and provide insights through reports and dashboards. Key Responsibilities: - Develop and maintain Power BI reports, dashboards, and visualizations. - Translate business needs into technical specifications for BI tools. - Collaborate with business analysts, data engineers, and other stakeholders to gather data requirements. - Create and manage data connections, transformations, and models using Power BI. - Ensure data accuracy and consistency across reports and dashboards. - Provide training and support to end-users on Power BI solutions. - Stay updated with new Power BI features and best practices. Qualifications: - Proficiency in Power BI, including DAX (Data Analysis Expressions) and Power Query. - Strong knowledge of SQL for querying databases. - Experience with data modelling, ETL processes, and creating measures. - Understanding of relational databases, data warehouses, and data lakes. - Excellent analytical and problem-solving skills. - Good communication skills to translate technical solutions to non-technical stakeholders. - Knowledge of cloud platforms like Azure is a plus.,

As a Senior Data Analyst at DataFlow Group, you will play a crucial role in leveraging data to optimize operational efficiency, identify bottlenecks, enhance service delivery, and uncover actionable insights for operational excellence and client satisfaction. **Key Responsibilities:** - **Data Analysis & Insight Generation**: - Conduct in-depth analysis of large and complex datasets to identify trends, patterns, and anomalies. - Translate raw data into clear, concise, and actionable insights addressing key business questions. - **Data Manipulation & Transformation**: - Expertly "slice and dice" data using advanced functions in Google Sheets or Microsoft Excel for analysis, model building, and report creation. - **Reporting & Visualization**: - Develop and maintain dashboards, reports, and presentations to effectively communicate analytical findings to stakeholders, including senior leadership. - **Problem Solving**: - Proactively identify business problems and opportunities, proposing data-driven solutions and strategies. - **Stakeholder Collaboration**: - Work closely with cross-functional teams to understand their data needs and provide support for decision-making. - **Data Quality & Governance**: - Contribute to ensuring data accuracy, consistency, and integrity across various data sets. **Qualifications Required:** - **Experience**: - Progressive experience in a data analytics role with a track record of delivering impactful data-driven insights. - **Mindset**: - Strong analytical and problem-solving skills with the ability to break down complex problems into manageable components. - **Data Manipulation Expertise**: - Hands-on proficiency in Google Sheets or Microsoft Excel, including advanced functions like pivot tables, VLOOKUP/XLOOKUP, conditional formatting, and charting. - **Slicing & Dicing**: - Ability to manipulate, transform, and analyze large volumes of data from various sources to uncover meaningful patterns. - **Skills**: - Excellent verbal and written communication skills to articulate complex analytical concepts clearly to non-technical audiences. - Meticulous attention to detail with a commitment to data accuracy and integrity. - Self-motivated, proactive, and able to work independently and collaboratively within a team environment. **Preferred Qualifications (Nice To Haves):** - Experience with SQL for data querying and extraction. - Experience with statistical analysis and modeling using tools like Python or R. Please note: This job description is provided by DataFlow Group, a global provider of specialized Primary Source Verification solutions and background screening services.,

Company name: Tramway Inc(http://www.tranwayinc.com/), Working for Client-Infosys( work location) Role: Hybrid (3 days in a week working from office) Office timings: Normal timings (UK hours)  Role: Contractual, Duration-6 months   Job Description: Should have strong experience in SQL, Snowflake and Tableau. Excellent problem-solving and communication skills. Ability to work independently and in a team-oriented environment. Mandatory skills: Primary Skills - SQL, Snowflake and Tableau. Secondary Skills - SAS Know how If you are interested, Please share your updated resume to prerna@42signs.com/8197 840 980.

A data scientists job is to analyze data, extract insights, and build predictive models that help organizations make smarter decisions and solve difficult problems. By blending expertise in statistics, computer science, and business strategy, they not only analyze complex datasets but also build predictive models that improve operations and shape long-term decisions Key Responsibilities of a Data Scientist So, what are the responsibilities of a data scientist They include: Data Collection and Preparation: Bringing together information from different sources, cleaning it, and making sure its ready for analysis Exploratory Data Analysis: Examining large datasets, both structured and unstructured, to spot patterns, trends, and unusual findings Model Building and Evaluation: Creating machine learning models and algorithms, then testing them to ensure accuracy and effectiveness Predictive Modeling: Using statistical methods to build models that can forecast outcomes and support better planning Automation and AI Integration: Simplifying tasks and processes through programming and AI tools Data Visualization: Turning results into clear reports, dashboards, and visualizations that make insights easy to understand Communication and Collaboration: Working closely with different teams to make sure data-driven insights are put into action Continuous Learning: Keeping skills up to date by exploring new tools, technologies, and approaches in data science

You are a skilled and detail-oriented Data Analyst (Data Design) with at least 3 years of professional experience. You will contribute to data-driven research, reporting, and decision-making processes for the client unit. - Collect, clean, and analyze data to support traffic, transportation, and business research initiatives. - Perform statistical analysis and data visualization to extract actionable insights. - Design and maintain MIS reports and dynamic dashboards to enable effective knowledge management. - Collaborate with internal stakeholders to understand business requirements and deliver data-driven solutions. - Ensure accuracy, consistency, and security of data across all projects. You should have: - Bachelors or Masters degree in Computer Science/IT, or Data Analytics. - Minimum 3 years of proven experience as a Data Analyst. - Proficiency in at least one programming language (e.g., Python, R, SQL, SAS) with working knowledge of others. - Strong analytical, problem-solving, and communication skills. - Hands-on experience in statistical tools, data visualization platforms (e.g., Tableau, Power BI), and database management.,

As an ideal candidate for this role, you will utilize your passion for big data and analytics to provide business insights covering a variety of topics. Your primary responsibilities will include conducting recurring and ad hoc analysis for business users. - **Data Analysis:** You will leverage advanced Excel functions to analyze large datasets, identify trends, and generate insights. - **Report Creation:** Your role will involve developing comprehensive reports and dashboards to effectively communicate findings and recommendations to stakeholders. - **Contract Analysis:** You will be responsible for reviewing and interpreting managed care contracts to ensure compliance and understanding of contractual obligations and financial implications. - **Collaboration:** Working closely with cross-functional teams, you will gather data requirements and provide analytical support for strategic initiatives. - **Continuous Improvement:** Identifying process enhancement opportunities and contributing to the development of best practices in data management and reporting will be key aspects of your role. In terms of qualifications, you should possess the following: - Proficiency in Microsoft Excel, including pivot tables, VLOOKUP, and advanced formulas. - Strong analytical skills with the ability to interpret complex data sets and present findings effectively. - Familiarity with managed care contracts and related terminology. - Excellent communication skills, both written and verbal. - Experience in report generation and data visualization tools would be considered a plus. Please note that there are no additional details about the company provided in the job description.,

Role Overview: As a Data Analyst in Healthcare Analytics, you will be responsible for driving the architecture, delivery, and governance of Azure-based data solutions across multiple programs. You will play a strategic role in data transformation initiatives while mentoring team members and collaborating with stakeholders across functions. The role also requires exposure to advanced analytics, data science, and LLM integration in production environments, along with strong Healthcare domain experience. Key Responsibilities: - Collaborate with business teams to understand technical/analysis requirements and build scalable data solutions independently with minimal supervision. - Leverage Healthcare domain knowledge to discover data issues and provide & implement recommendations to resolve them using data engineering & data management best practices. - Seamlessly work in the Azure & Databricks ecosystem and follow best practices for data security, governance, and compliance. - Bring expertise in CI/CD and DevOps processes to support smooth deployments when needed. - Hold or actively pursue certification in Azure Data Engineering or Databricks. Qualifications Required: - 3-6 years of experience in data management, analytics, and engineering in the Healthcare space. - Strong knowledge of Azure Databricks, including Architecture, Delta Lake, Databricks Unity Catalog, Workflow, Compute, Azure Synapse Analytics, Azure SQL Managed Instance. - Proficiency in Pyspark with the ability to process large-scale datasets in distributed environments. - Hands-on experience with SQL (query writing, optimization, and performance tuning). - Experience with Azure Data Factory (ADF). - Solid understanding of data governance, data lineage, access controls, and compliance frameworks. - Strong communication skills with experience of working directly with the client stakeholders. Please note that the above qualifications and responsibilities are essential for the role of Data Analyst in Healthcare Analytics. If you are looking for an entrepreneurial environment and are passionate about working on unstructured business problems that can be solved using data, we would like to talk to you. Interested folks can apply for this job or share their updated resume to steffie.sheeba@tigeranalytics.com.,

You are looking for enthusiastic and detail-oriented Data Science / Data Analyst Trainees who are passionate about data, analytics, and problem-solving. This role is ideal for fresh graduates or early-career professionals who have a strong foundation in Python, SQL, and analytical thinking, and are eager to build a career in data science, data analytics, or business intelligence. As a Trainee, you'll work closely with the data engineering and analytics teams to clean, analyze, and visualize data to support business insights and decision-making. - Work with large datasets using Python libraries such as NumPy and Pandas for data manipulation and transformation. - Write and optimize SQL queries to extract, aggregate, and analyze data from databases. - Assist in data cleaning, feature engineering, and data validation processes. - Generate reports, dashboards, and visualizations to communicate insights effectively. - Support the team in developing and maintaining data pipelines and ETL processes. - Collaborate with cross-functional teams to understand data requirements and deliver analytical solutions. - Continuously learn and apply new tools and techniques in data analytics and machine learning. Requirements: - Strong understanding of Python programming and knowledge with NumPy, Pandas, and basic visualization libraries. - Solid grasp of SQL and relational database concepts. - Good analytical, mathematical, and problem-solving skills. - Understanding of statistics, data preprocessing, and exploratory data analysis (EDA). - Eagerness to learn data visualization tools (Power BI, Tableau, or similar). - Strong attention to detail and ability to interpret data-driven insights. - Exposure to Jupyter Notebooks. - Familiarity with Excel and data visualization tools. - Knowledge of ETL pipelines, APIs. You are looking for enthusiastic and detail-oriented Data Science / Data Analyst Trainees who are passionate about data, analytics, and problem-solving. This role is ideal for fresh graduates or early-career professionals who have a strong foundation in Python, SQL, and analytical thinking, and are eager to build a career in data science, data analytics, or business intelligence. As a Trainee, you'll work closely with the data engineering and analytics teams to clean, analyze, and visualize data to support business insights and decision-making. - Work with large datasets using Python libraries such as NumPy and Pandas for data manipulation and transformation. - Write and optimize SQL queries to extract, aggregate, and analyze data from databases. - Assist in data cleaning, feature engineering, and data validation processes. - Generate reports, dashboards, and visualizations to communicate insights effectively. - Support the team in developing and maintaining data pipelines and ETL processes. - Collaborate with cross-functional teams to understand data requirements and deliver analytical solutions. - Continuously learn and apply new tools and techniques in data analytics and machine learning. Requirements: - Strong understanding of Python programming and knowledge with NumPy, Pandas, and basic visualization libraries. - Solid grasp of SQL and relational database concepts. - Good analytical, mathematical, and problem-solving skills. - Understanding of statistics, data preprocessing, and exploratory data analysis (EDA). - Eagerness to learn data visualization tools (Power BI, Tableau, or similar). - Strong attention to detail and ability to interpret data-driven insights. - Exposure to Jupyter Notebooks. - Familiarity with Excel and data visualization tools. - Knowledge of ETL pipelines, APIs.

Role Overview: As a Data Analyst at our company, you will play a crucial role in collecting, processing, and analyzing data from various online sources to support IEPF share recovery. Your expertise in Python programming, web scraping, and data analysis will be essential in providing actionable insights for business decision-making. Key Responsibilities: - **Data Scraping:** Utilize Python and web scraping techniques to extract data from financial, regulatory, and shareholding-related websites for IEPF share recovery. - **Data Cleaning & Preprocessing:** Clean, process, and structure raw data to ensure data quality and integrity for analysis purposes. - **Data Analysis & Visualization:** Analyze large datasets to derive insights on share recovery and investor shareholding trends, presenting findings through visualizations. - **Reporting:** Prepare detailed reports on share recovery patterns, trends, and forecasts based on analysis to assist in driving business decisions. - **Automation & Optimization:** Develop and maintain automated web scraping systems to update shareholding data regularly, optimizing the data pipeline for efficiency. - **Collaboration:** Work closely with business stakeholders to understand data requirements and deliver tailored reports or visualizations related to IEPF share recovery. Qualifications Required: - **Technical Skills:** - Strong proficiency in Python for data analysis and automation. - Expertise in web scraping using libraries such as BeautifulSoup, Selenium, and Scrapy. - Experience with data manipulation and analysis using Pandas, NumPy, and other relevant libraries. - Familiarity with SQL for data extraction and querying relational databases. - Knowledge of data visualization tools like Matplotlib, Seaborn, or Tableau for presenting insights. - **Experience:** - Minimum 2-3 years of experience as a Data Analyst focusing on Python programming and web scraping. - Experience with financial or investment data, particularly in IEPF, share recovery, or investor relations. - Strong problem-solving skills and ability to generate actionable insights from complex datasets. - **Additional Skills:** - Strong attention to detail and proficiency in working with large datasets. - Ability to work collaboratively in a team environment. - Familiarity with cloud platforms (e.g., AWS, Google Cloud) and data storage is advantageous. - **Education:** - Bachelors or Masters degree in Data Science, Computer Science, Statistics, Finance, or related field. - **Soft Skills:** - Strong communication skills to explain technical concepts to non-technical stakeholders. - Effective prioritization, organizational, and time management skills. (Note: Company details were not included in the provided job description.),